<p>Figure shows the effect of increasing the overlap of the receptive fields (to ) of the Place Cells. Panel A shows a configuration without lateral connections and panel B shows a configuration with lateral connections (and corresponds to systems A and B from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0018539#pone-0018539-g003" target="_blank">Figures 3</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0018539#pone-0018539-g004" target="_blank">4</a>). The plots of the average reward (left col...
Comparison of cortical receptive fields tuned to different frequencies, orientations, and locations ...
<p>(<b>a-i</b>) Receptive field obtained for network simulations with the quadratic rectifier (top),...
<p>White is positive and black negative. V1 uses a pair of even/odd Gabor filters. V2 neurons cells ...
<p>Figure shows the effect of varying the lateral connection strength ...
<p>(<b>a-f</b>) Gray level indicates the optimization value for different lengths and widths (see in...
<p>In red are the 100 cells best tuned to the reference orientation (0 degrees), in green the 100 ce...
<p>See also <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0037686#pone.00376...
<p><b>A</b>: A one dimensional representation of the CA3 network. Each cell receives a spatially sel...
<p>Top row shows the relationship between optimal length (A), width (D) and C<sub>50</sub>, with fil...
<p>We investigate the effect of the reward function shape by changing it ...
<p>(<b>a</b>) Information as a function of the number of learning steps peaks and then plateaus. The...
<p>To obtain a better understanding of the difference between the pe...
<p><b>A</b>) Upper panels: population mean relative pseudo R<sup>2</sup> (100*) of CRF stimuli (firs...
We study several statistically and biologically motivated learning rules using the same visual envir...
<p>Separate analyses are presented for the length (left column) and width (right column) dimensions ...
Comparison of cortical receptive fields tuned to different frequencies, orientations, and locations ...
<p>(<b>a-i</b>) Receptive field obtained for network simulations with the quadratic rectifier (top),...
<p>White is positive and black negative. V1 uses a pair of even/odd Gabor filters. V2 neurons cells ...
<p>Figure shows the effect of varying the lateral connection strength ...
<p>(<b>a-f</b>) Gray level indicates the optimization value for different lengths and widths (see in...
<p>In red are the 100 cells best tuned to the reference orientation (0 degrees), in green the 100 ce...
<p>See also <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0037686#pone.00376...
<p><b>A</b>: A one dimensional representation of the CA3 network. Each cell receives a spatially sel...
<p>Top row shows the relationship between optimal length (A), width (D) and C<sub>50</sub>, with fil...
<p>We investigate the effect of the reward function shape by changing it ...
<p>(<b>a</b>) Information as a function of the number of learning steps peaks and then plateaus. The...
<p>To obtain a better understanding of the difference between the pe...
<p><b>A</b>) Upper panels: population mean relative pseudo R<sup>2</sup> (100*) of CRF stimuli (firs...
We study several statistically and biologically motivated learning rules using the same visual envir...
<p>Separate analyses are presented for the length (left column) and width (right column) dimensions ...
Comparison of cortical receptive fields tuned to different frequencies, orientations, and locations ...
<p>(<b>a-i</b>) Receptive field obtained for network simulations with the quadratic rectifier (top),...
<p>White is positive and black negative. V1 uses a pair of even/odd Gabor filters. V2 neurons cells ...